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Reproducibility Code for Traditional and Heavy Tailed Self Regularization in Neural Network Models
Awesome Incremental Learning
Associated codebase for Byzantine-resilient distributed / decentralized machine learning papers from INSPIRE Lab
Ceph is a distributed object, block, and file storage platform
Objects erasure encoded by Ceph
PyTorch implementation of some class-incremental learning methods
Continual learning of neural networks with 11 state-of-the-art methods and 4 baselines. Codebase of the continual learning survey: "A continual learning survey: Defying forgetting in classification tasks." arXiv preprint arXiv:1909.08383 (2019)."
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).
Evaluate three types of task shifting with popular continual learning algorithms.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
PyTorch implementations of deep reinforcement learning algorithms and environments
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
For more details, see paper: DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks
Enhanced Self-Organizing Incremental Neural Network implementation with Python 3(E SOINN)
以太坊solidity智能合约编程语言学习指南
以太坊开发 HelloWorld for Java
The experimentation code used for developing FedClean: A Decentralized Defense Mechanism Against Parameter Poisoning Attacks in the Federated Learning Systems.
Code release for paper "Incremental Learning of Object Detectors without Catastrophic Forgetting"
Spectrum sharing in vehicular networks based on multi-agent reinforcement learning, IEEE Journal on Selected Areas in Communications
OpenMMLab Detection Toolbox and Benchmark
PyTorch 官方中文教程包含 60 分钟快速入门教程,强化教程,计算机视觉,自然语言处理,生成对抗网络,强化学习。欢迎 Star,Fork!
Rainbow: Combining Improvements in Deep Reinforcement Learning
RISC-V Cores, SoC platforms and SoCs
Official implementation of "RODEO: Replay for Online Object Detection", BMVC 2020
Self-Organizing Incremental Neural Network implementation with Python
Unsupervised Learning by SOINN (Self-Organizing Incremental Neural Network).
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.